Comprehensive side-by-side LLM comparison
Phi-4-multimodal-instruct leads with 62.9% higher average benchmark score. Phi-4-multimodal-instruct supports multimodal inputs. Overall, Phi-4-multimodal-instruct is the stronger choice for coding tasks.
OpenAI
GPT-5 Codex is a language model developed by OpenAI. It achieves strong performance with an average score of 74.5% across 1 benchmarks. Notable strengths include SWE-Bench Verified (74.5%). Released in 2025, it represents OpenAI's latest advancement in AI technology.
Microsoft
Phi-4-multimodal-instruct is a multimodal language model developed by Microsoft. It achieves strong performance with an average score of 72.0% across 15 benchmarks. It excels particularly in ScienceQA Visual (97.5%), DocVQA (93.2%), MMBench (86.7%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Microsoft's latest advancement in AI technology.
7 months newer
Phi-4-multimodal-instruct
Microsoft
2025-02-01
GPT-5 Codex
OpenAI
2025-09-15
Context window and performance specifications
Average performance across 16 common benchmarks
GPT-5 Codex
Phi-4-multimodal-instruct
Phi-4-multimodal-instruct
2024-06-01
GPT-5 Codex
2024-09-30
Available providers and their performance metrics
GPT-5 Codex
Phi-4-multimodal-instruct
DeepInfra
GPT-5 Codex
Phi-4-multimodal-instruct
GPT-5 Codex
Phi-4-multimodal-instruct